{"product_id":"amazon-sagemaker-best-practices-sireesha-muppala-9781801070522","title":"Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker","description":"\u003cp\u003e\u003cstrong\u003eOvercome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML models into production\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn best practices for all phases of building machine learning solutions - from data preparation to monitoring models in production\u003c\/li\u003e\n\u003cli\u003eAutomate end-to-end machine learning workflows with Amazon SageMaker and related AWS\u003c\/li\u003e\n\u003cli\u003eDesign, architect, and operate machine learning workloads in the AWS Cloud\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAmazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A\/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePerform data bias detection with AWS Data Wrangler and SageMaker Clarify\u003c\/li\u003e\n\u003cli\u003eSpeed up data processing with SageMaker Feature Store\u003c\/li\u003e\n\u003cli\u003eOvercome labeling bias with SageMaker Ground Truth\u003c\/li\u003e\n\u003cli\u003eImprove training time with the monitoring and profiling capabilities of SageMaker Debugger\u003c\/li\u003e\n\u003cli\u003eAddress the challenge of model deployment automation with CI\/CD using the SageMaker model registry\u003c\/li\u003e\n\u003cli\u003eExplore SageMaker Neo for model optimization\u003c\/li\u003e\n\u003cli\u003eImplement data and model quality monitoring with Amazon Model Monitor\u003c\/li\u003e\n\u003cli\u003eImprove training time and reduce costs with SageMaker data and model parallelism\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for expert data scientists responsible for building machine learning applications using Amazon SageMaker. Working knowledge of Amazon SageMaker, machine learning, deep learning, and experience using Jupyter Notebooks and Python is expected. Basic knowledge of AWS related to data, security, and monitoring will help you make the most of the book.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Sireesha Muppala, Randy Defauw, Shelbee Eigenbrode\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1801070520\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781801070522\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/24\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 348\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.32lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 0.72d\u003c\/p\u003e","brand":"Sireesha Muppala","offers":[{"title":"Paperback","offer_id":44365367640319,"sku":"9781801070522","price":48.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_8e96b8d1-c179-45e7-b8ea-bdca451e8858.jpg?v=1697058129","url":"https:\/\/www.whiterainbookhouse.com\/products\/amazon-sagemaker-best-practices-sireesha-muppala-9781801070522","provider":"WR Book House","version":"1.0","type":"link"}